Show notes
In this episode, Brett Gibson talks with Lucas Young, cofounder and CEO of Deepnight about how they’re building AI-powered night vision that helps the military, law enforcement, and first responders see in near-total darkness. Deepnight combines AI with commodity digital sensors — the same kind used in smartphones — to replace expensive analog night-vision hardware that costs over $30,000 per unit and hasn’t kept pace with modern imaging technology.Lucas explains how night vision has worked since World War II, why analog image intensifiers hit a ceiling, how smartphone photography paved the way for this breakthrough, and what it takes to bring military-grade low-light imaging into the field.Chapters(00:00) Why Night Vision Is Still Mostly Analog(00:39) Deepnight’s Breakthrough: AI That Sees in the Dark(01:44) How Their AI Reconstructs *Real* Scenes(03:58) Lucas’s Path: Google Pixel → YC Founder(05:26) Why Modern Cameras Rely on Software(09:12) The Rise of AI-Enhanced Photography(11:45) The Insight: AI Could Beat $30K Night-Vision Goggles(13:03) How Traditional Night-Vision Tubes Work(14:10) Starting Deepnight Without Knowing If It Would Work(15:11) Early Prototypes: Offline → Real-Time Night Vision(16:15) The Physics Challenge: Seeing in Moonless Starlight(19:12) Running This on Smartphone-Class Chips(22:27) Building a Custom Neural Network for Night Vision(28:43) Can Cheap $50 Sensors Match Military Gear?(48:06) What’s Next: Real Soldiers Using AI Night VisionSubscribe to High Bit for more conversations with technical founders building what’s next, hosted by Brett Gibson of Initialized Capital.
